Why Most Published Research Findings Are False A Research Paper by John P.A. Ioannidis journals.plos.org There is increasing concern that most current published research findings are false. The probability that a research claim is true may depend on study power and bias, the number of other studies on the same question, and, importantly, the ratio of true to no relationships among the relationships probed in each scientific field. In this framework, a research finding is less likely to be true when the studies conducted in a field are smaller; when effect sizes are smaller; when there is a greater number and lesser preselection of tested relationships; where there is greater flexibility in designs, definitions, outcomes, and analytical modes; when there is greater financial and other interest and prejudice; and when more teams are involved in a scientific field in chase of statistical significance. researchsciencetruth
Navigation by shibboleth An Article by Dorian Taylor doriantaylor.com The inverse-chronological colly on the front page is exactly what I didn’t want to end up with. I have tried my damnedest to keep everything on this site as temporally neutral as I can make it. I even intentionally leave the dates off the documents. Temporality only matters if you’ve already read everything and you want to see what’s new or changed, like if you’ve subscribed to a feed. Which is exactly what that is on the front page. Reverse chronology bias bloggingtime